AI Master’s Degree for Healthcare Professionals | aimastersdegree.online
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Healthcare-Focused Curriculum 100% Online No CS Background Required

AI Master’s Degree
Designed for Healthcare Professionals.

You understand patients, systems, and outcomes. This program gives you the AI skills to transform them. Built for clinicians, health administrators, and health IT professionals — no computer science background required.

Program at a Glance

Next Cohort

September 8, 2026

Duration

21 months (part-time)

Total Tuition

$22,500

Credits

33 credit hours

Prerequisites

Healthcare background only

$185K+

Median salary for healthcare AI directors

$46B

Healthcare AI market by 2030 (Grand View Research)

No CS

Required — built for clinicians and health administrators

21 mo

Part-time completion — keep your current role

3 Tracks

Clinical AI, Health Data Science, AI Administration

Built for Healthcare. Not for Computer Scientists.

Every course is designed around healthcare contexts, datasets, and decision environments. You will never write a sorting algorithm. You will build clinical decision support tools, analyze EHR data, and design AI governance frameworks for health systems.

Physicians & APPs

You see AI entering clinical workflows — diagnostic imaging, predictive sepsis alerts, documentation automation. This program gives you the technical literacy to lead those implementations, not just use them.

Recommended Track: Clinical AI

Health IT & Informatics Professionals

You manage EHR systems, data pipelines, and interoperability. A master’s in AI gives you the skills to move from data management to data intelligence — building predictive models on the data you already own.

Recommended Track: Health Data Science

Health System Administrators

You make decisions about technology investments, vendor contracts, and operational strategy. Understanding AI at a technical level changes how you evaluate proposals, negotiate with vendors, and govern implementations.

Recommended Track: AI Administration & Governance

Life Sciences & Pharma Professionals

AI is transforming drug discovery, clinical trial design, and pharmacovigilance. Professionals who can bridge clinical knowledge and AI methodology are among the most sought-after in the life sciences industry.

Recommended Track: Clinical AI or Health Data Science

Three Concentration Tracks

All students complete the same 18-credit core. Choose a 15-credit concentration that matches your role and career goals.

Clinical AI

For clinicians & clinical informaticists

  • AI in Diagnostic Imaging — radiology AI, pathology AI, image classification
  • Clinical Decision Support Systems — sepsis prediction, readmission models, risk stratification
  • NLP for Clinical Documentation — ambient AI, note summarization, coding automation
  • AI Ethics in Clinical Settings — bias in clinical AI, FDA regulation, patient consent
  • Capstone: Clinical AI Implementation — deploy a clinical AI tool in a simulated health system

Health Data Science

For health IT, informatics & analytics professionals

  • EHR Data Engineering & ML Pipelines — FHIR, HL7, structured and unstructured EHR data
  • Predictive Analytics in Population Health — risk models, chronic disease prediction, social determinants
  • Genomics & Precision Medicine AI — variant analysis, biomarker discovery, drug response prediction
  • Real-World Evidence & Clinical Trials — AI-assisted trial design, synthetic control arms
  • Capstone: Health Data Science Project — original analysis using real-world health datasets

AI Administration & Governance

For health system leaders & administrators

  • AI Strategy for Health Systems — build vs. buy, vendor evaluation, ROI frameworks
  • Healthcare AI Regulation & Compliance — FDA SaMD, ONC rules, HIPAA in AI contexts
  • AI Governance & Risk Management — algorithmic auditing, bias monitoring, incident response
  • Change Management for AI Adoption — clinical workflow integration, staff training, culture change
  • Capstone: AI Strategic Plan — develop a full AI implementation roadmap for a health system

Core Curriculum — 18 Credits

All students complete these six foundation courses before entering their concentration track.

HAI 501

Foundations of AI for Healthcare

ML concepts, supervised/unsupervised learning, neural networks — taught through healthcare case studies

HAI 502

Health Data Structures & Interoperability

EHR data models, FHIR/HL7, claims data, imaging data, and wearables — how health data is structured and accessed

HAI 503

Biostatistics & Epidemiology for AI

Statistical foundations for AI model validation, causal inference, and clinical research design

HAI 504

AI Ethics, Bias & Health Equity

Algorithmic bias in clinical AI, health equity implications, explainability requirements, and patient rights

HAI 505

Regulatory & Legal Frameworks for Healthcare AI

FDA Software as a Medical Device (SaMD), ONC certification, HIPAA in AI contexts, liability frameworks

HAI 506

AI Implementation in Clinical Environments

Workflow integration, change management, clinician adoption, and measuring clinical AI ROI

Career Outcomes

Healthcare AI is one of the fastest-growing and highest-paying intersections in the job market. Graduates of this program are positioned for senior roles across health systems, life sciences, and health tech.

Chief AI Officer (Health System)

$210K–$280K

Median total compensation

Director of Clinical AI

$175K–$220K

Median total compensation

Health Data Scientist

$140K–$185K

Median total compensation

Clinical Informatics AI Lead

$155K–$195K

Median total compensation

Healthcare AI Product Manager

$145K–$190K

Median total compensation

Disclaimer: This is a mockup landing page demonstrating the potential use of aimastersdegree.online. All programs, curriculum, and content are illustrative only. Domain available at Afternic.

Premium Domain For Sale

aimastersdegree.online

The AI master’s degree domain for the healthcare and life sciences market — the fastest-growing segment of the AI education economy.

  • Healthcare AI market projected at $46B by 2030 — one of the fastest-growing AI verticals
  • No CS background required — opens the market to millions of healthcare professionals
  • Ideal for health systems, medical schools, and health tech companies building AI education programs
  • Complements aidegree.online and mastersinai.online for full-funnel AI degree coverage

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$6,500

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